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Suppressing Cocktail Party Noise for Speech Acquisition

机译:抑制鸡尾酒会噪音以获取语音

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摘要

In this paper, a novel and improved iterative speech enhancement approach is presented to suppress the undesired speech or noise in cocktail party environments. The key idea in the proposed appraoch is that a difference phase-correlation- based criterion function(DPCF) is introduced to work as the convergence controller for a modified iterative wiener filter(MIWF). The interference component is attenuated continually until convergence occurs. Evaluation results of objective quality measurement and informal listening test show the proposed system provides speech with good quality and good intelligibility.
机译:在本文中,提出了一种新颖且经过改进的迭代语音增强方法,以抑制鸡尾酒会环境中的不良语音或噪声。提出的方法中的关键思想是引入基于差分相位相关性的标准函数(DPCF)作为改进的迭代维纳滤波器(MIWF)的收敛控制器。干扰分量会持续衰减,直到会聚为止。客观质量测量和非正式听力测试的评估结果表明,该系统提供了语音质量高,清晰度高的语音。

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